Etisha

Gurav

Biomedical Engineer[B.Tech]

Date of Birth – 21st February 1998

PROFILE

A proactive diligent and determined

individual capable of managing a team

both as a player and a leader. A good

communicator and skilled in making

presentations with organizational and

analytical skills, problem solving and

decision-making skills being a forte. I am

seeking to work in an organization where I

can utilize my skills and accept challenges

which will help me grow individually

enhancing the productivity of my team

and the organizations

CONTACT

PHONE: +919*********

EMAIL: adhoia@r.postjobfree.com

TECHNICAL SKILLS

C Language – Basic

Fusion 360 – Basic

EAGLE – Basic

MATLAB – Intermediate

Microsoft Excel - Basic

Microsoft Word –Intermediate

Microsoft PowerPoint - Intermediate

PERSONAL SKILLS

Optimistic and open mindedness

Good Communication

Problem solving ability

Divergent thinker

Flexibility

INTEREST

Reading

EDUCATION

Ajeenkya DY Patil University August 2016-May 2020

Bachelors of Technology in Mechatronics Engineering CGPA – 9.47

Our Own English High School, Dubai

AISSCE –CBSE(12th) – 87%

AISSE – CBSE(10th) – 10 CGPA

WORK EXPERIENCE

MedikaBazaar [Trainee] September 2020 - Present

Understanding the development of a medical online catalogue and involved in new product research in the market.

Columbia Asia Hospital, Pune – Internship May 2019- July 2019 Understanding the management of the hospital, various documentation as well as witnessing servicing of machines

Medeor 24x7 Hospital, Dubai – Internship June 2018 – July 2018 Hands-On experience on various equipments in the hospital. PROJECTS

• Piezoelectric Circuit for Assisted Device August 2017 – December 2017

• Acquisition of EOG Signals January 2018 – May 2018

• LDR Based Pulse Rate Sensor August 2018 – December 2018

• Medicine delivery system using Non-Contact Liquid Sensor January 2019 – May 2019

• Detection of Breast Tumours using Image processing January 2019 – May 2019

• Voice Recognition pattern using EMG for semi-paralysed patients Final Year Project August 2019 – July 2020

Voice of semi-paralysed patients are acquired through the electromygraphy signals from the sub-vocal area in the neck and these signals are subjected to AI to recognize different alphabets and numbers